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  • Conference proceedings
  • © 2021

Machine Learning and Knowledge Discovery in Databases. Research Track

European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12977)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2021.

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eBook USD 129.00
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  • ISBN: 978-3-030-86523-8
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Softcover Book USD 169.99
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Table of contents (49 papers)

  1. Front Matter

    Pages i-xxxv
  2. Generative Models

    1. Front Matter

      Pages 1-1
    2. Deep Conditional Transformation Models

      • Philipp F. M. Baumann, Torsten Hothorn, David Rügamer
      Pages 3-18
    3. Disentanglement and Local Directions of Variance

      • Alexander Rakowski, Christoph Lippert
      Pages 19-34
    4. Semi-structured Document Annotation Using Entity and Relation Types

      • Arpita Kundu, Subhasish Ghosh, Indrajit Bhattacharya
      Pages 52-68
    5. Learning Disentangled Representations with the Wasserstein Autoencoder

      • Benoit Gaujac, Ilya Feige, David Barber
      Pages 69-84
  3. Search and optimization

    1. Front Matter

      Pages 85-85
    2. Which Minimizer Does My Neural Network Converge To?

      • Manuel Nonnenmacher, David Reeb, Ingo Steinwart
      Pages 87-102
    3. Information Interaction Profile of Choice Adoption

      • Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
      Pages 103-118
    4. Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

      • Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
      Pages 119-134
    5. Very Fast Streaming Submodular Function Maximization

      • Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
      Pages 151-166
    6. Robust Regression via Model Based Methods

      • Armin Moharrer, Khashayar Kamran, Edmund Yeh, Stratis Ioannidis
      Pages 200-216
    7. Black-Box Optimizer with Stochastic Implicit Natural Gradient

      • Yueming Lyu, Ivor W. Tsang
      Pages 217-232
    8. More General and Effective Model Compression via an Additive Combination of Compressions

      • Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
      Pages 233-248
    9. Hyper-parameter Optimization for Latent Spaces

      • Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos et al.
      Pages 249-264
    10. Bayesian Optimization with a Prior for the Optimum

      • Artur Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
      Pages 265-296

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III
  4. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV
  5. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part V
  6. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
  7. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II

About this book

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Keywords

  • applied computing
  • computer vision
  • computing methodologies
  • correlation analysis
  • data mining
  • databases
  • image analysis
  • image processing
  • image reconstruction
  • information retrieval
  • law, social and behavioral sciences
  • learning
  • machine learning
  • neural networks
  • probability
  • probability and statistics
  • semantics
  • signal processing
  • stochastic processes

Editors and Affiliations

  • ELLIS - The European Laboratory for Learning and Intelligent Systems, Alicante, Spain

    Nuria Oliver

  • ETHZ and EPFL, Zürich, Switzerland

    Fernando Pérez-Cruz

  • Johannes Gutenberg University of Mainz, Mainz, Germany

    Stefan Kramer

  • École Polytechnique, Palaiseau, France

    Jesse Read

  • Basque Center for Applied Mathematics, Bilbao, Spain

    Jose A. Lozano

Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-86523-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)